Haziq Jamil

haziq.jamil@ubd.edu.bn https://haziqj.ml

I am an Assistant Professor in Statistics at Universiti Brunei Darussalam (UBD). My expertise lie in statistical methodology and computation, with applications towards the natural and social sciences.

I am passionate about bringing data and technology to the forefront of our daily interaction with the world. Using the R programming language, I build statistical models to analyse data to gain insights, make predictions, and aid decision-making. I am constantly engaged in cross-disciplinary research collaborations and statistical consultations.

Research Interests

Latent variable models		Structural equation models
Binary and multinomial probit models		Truncated normal distribution
Bayesian estimation		EM algorithms
Variational inference

Education

year	what
2014 — 2018	PhD in Statistics, London School of Economics and Political Science Supervisors: Wicher Bergsma¹ and Irini Moustaki² Thesis: Regression modelling using priors depending on Fisher information covariance kernels (I-priors)³
2013 — 2014	MSc in Statistics (distinction), London School of Economics and Political Science
2006 — 2010	BSc & Master in Mathematics, Operational Research, Statistics and Economics (first class honours), University of Warwick Supervisor: David Firth⁴ Dissertation: The analysis of paired comparison data using Bradley-Terry models with applications to football data

Awards & honours

year	what
2020	Arnold Zellner Thesis Award in Econometrics and Statistics (honourable mention)⁵, American Statistical Association (Business and Economic Statistics Section)
2013 — 2018	In-Service Training Scheme Scholarship, Public Service Commission, Prime Minister’s Office, Brunei
2006 — 2010	Supreme Commander of The Royal Brunei Armed Forces Scholarship⁶, Ministry of Defence, Brunei
2006	Anugerah Penuntut Terbaik Tahun 2005 (Best Student Award 2005), Persatuan Guru-Guru Melayu Brunei (PGGMB)

Experience

year	what
2019 — present	Assistant Professor in Statistics Mathematical Sciences, Faculty of Science, Universiti Brunei Darussalam⁷ My teaching duties include SM-1402 Basic Statistics, CU-0304 Sciences for University Study, SM-4331 Advanced Statistics, SM-2401 Geometry, and SR-5101 Advanced Research Skills. I also have final-year mathematics project students whom I supervise. In addition to my teaching duties, I am one of the Discovery Year⁸ advisors (2019-21).
2014 — 2018	Graduate Teaching Assistant Department of Statistics, London School of Economics and Political Science⁹ I held various teaching roles ranging from secondary teaching to marking for masters (ST416 Multilevel Modelling, ST421 Development in Statistical Methods) and undergraduate level courses (ST312 Applied Statistics Project) at the LSE. In addition, I also held assistant invigilator and examiner roles for both the LSE and the University of London International Examinations respectively.
2010 — 2019	Research Officer Centre for Science and Technology, Research and Development (CSTRAD), Ministry of Defence, Brunei¹⁰ I provided analytical insight into matters arising from the development and activities of strategic procurement projects for the Royal Brunei Armed Forces (RBAF). This entailed market research, cost-benefit analyses, and writing technical reports. I was a project team member for the procurement and delivery of 12 Sikorsky S-70i helicopters¹¹ (US$325M), and also the focal point for the development of tender evaluation criteria using the Analytic Hierarchy Process.

Service

year	what
2020 — present	Ad-hoc Reviewer Annals of Applied Statistics¹²
2020 — present	Review Editor Frontiers in Applied Mathematics and Statistics¹³
2020	Guest Lecturer Universiti Teknologi Brunei¹⁴
2014 — 2015	MSc Programme Facebook Administrator Department of Statistics, London School of Economics and Political Science Acted as student liaison for incoming students for the MSc Statistics programme 2015/16.
2013 — 2015	Auditor Brunei Down’s Syndrom Association (ABLE: Ability Built through Learning and Experience)¹⁵

Consultancy

year	what
2017 — 2018	Data Analyst and Consultant Universiti Brunei Darussalam Project: The unmet needs of cancer carers in Brunei Darussalam.
2021	Data Analytics Consultant Ministry of Defence, Brunei Project: Human performance research

Grants and funding

year	what
2021 — 2022	Extension of I-prior methodology to nominal response models (~BND 7,000), Faculty of Science Research Grant, Universiti Brunei Darussalam. Role: Principal Investigator
2021 — 2023	Examining spillover effects in regional trading blocs (~BND 17,000), School of Business and Economics Research Grant, Universiti Brunei Darussalam. Role: Member
2021 — 2024	Mathematical Modeling of Genetic Assimilation (~BND 8,000), Faculty of Science Research Grant, Universiti Brunei Darussalam. Role: Co-Principal Investigator

Publications

Articles (peer-reviewed)

year	number	citation
2021	A5	Advocating Blended Learning for University Undergraduate Level Mathematical Instruction Beyond Covid-19 H. Jamil, H. M. Ramli, E. Leong In: Engineering and Sciences Teaching and Learning Activities: New Systems Throughout COVID-19 Pandemics, pp. 33-45. Ed. by Samsul Ariffin Abdul Karim and Saiful Azmi Hussain. Studies in Systems, Decision and Control, vol 381. Cham: Springer. ISBN: 978-3-030-79613-6.
	A4	Pairwise likelihood estimation for confirmatory factor analysis models with categorical variables and data that are missing at random M. Katsikatsou, I. Moustaki, H. Jamil British Journal of Mathematical and Statistical Psychology. DOI: 10.1111/bmsp.12243.
	A3	Latent Class Analysis: Insights about design and analysis of schistosomiasis diagnostic studies A. Koukounari, H. Jamil, E. Erosheva, C. Shiff, I. Moustaki PLOS Neglected Tropical Diseases. 15(2):e0009042.
2020	A2	Bayesian Variable Selection for Linear Models Using I-Priors H. Jamil, W. Bergsma In: Theoretical, Modelling and Numerical Simulations Toward Industry 4.0, pp. 107–132. Ed. by Samsul Ariffin Abdul Karim. Studies in Systems, Decision and Control, vol 319. Singapore: Springer. ISBN: 978-981-15-8986-7.
2018	A1	Regression modelling using priors depending on Fisher information covariance kernels (I-priors) H. Jamil PhD Thesis. London School of Economics and Political Science. Arnold Zellner award, honourable mention (top 3)

Working papers (preprints and unpublished reports)

year	number	citation
2021	W8	I think I understand: Investigating misconceptions regarding hypothesis test concepts among university students A. Zaini, H. Jamil, E. Leong
2020	W7	Increase in iron and manganese due to reducing conditions at a tropical catchment in South East Asia S. Gӧdeke, H. Jamil, M. Schirmer, A. Bretzler, N. Shamsuddin, N. H. Mansor
	W5	Factors Affecting Readmission to the Drug Rehabilitation Centre in Brunei Darussalam F. Jali, E. Leong, H. Jamil
	W6	Regression modelling with I-priors: With applications to functional, multilevel and longitudinal data W. Bergsma, H. Jamil arXiv:2007.15766 [math, stat].
	W4	Investigating the effect of load carriage on soldiers’ performances using Bayesian structural equation models H. Jamil, A. Salleh, L. Thieng Chan
2019	W3	iprior: An R Package for Regression Modelling using I-priors H. Jamil, W. Bergsma arXiv:1912.01376 [stat].
2017	W2	Discussion contribution W. Bergsma, H. Jamil TI Cannings, RJ Samworth (2017). Random-projection ensemble classification. JRSSB, 79.4, pp. 959-1035.
2010	W1	Analysis of paired comparison data using Bradley-Terry models with applications to football data H. Jamil Masters Thesis. University of Warwick.

Software

year	number	citation
2021	S3	iprior: Regression Modelling using I-priors H. Jamil R package version 0.7.1
	S1	iprobit: Binary and Multinomial Probit Regression with I-priors H. Jamil R package version 0.0.1
	S2	ipriorBVS: Bayesian Variable Selection using I-priors H. Jamil R package version 0.1.0

Research dissemination

Posters and short presentations

year	number	what
2018	P3	Inaugural Workshop on Data Science Theory and Practice, LSE, London, UK Binary and Multinomial Regression using Fisher Information Covariance Kernels (I-priors)
2017	P2	Turing Data Study Group, The Alan Turing Institute, London, UK Can data science help identify potential drivers of extremism?
	P1	International Meeting of the Psychometric Society (IMPS), University of Zürich, Switzerland Regression Modelling with I-Priors

Talks

Further information for the following talks are available at haziqj.ml/talk

year	number	what
2020	T10	IADA Seminar, UBD, Brunei A latent variable model for maximal performance testing with dropouts for military applications
	T09	Social Statistics Group Meetings, LSE, London, UK Investigating the effect of load carriage on soldiers’ performances using structural equation models
2019	T08	UBDSBE Seminar Invitation, UBD, Brunei Bayesian Variable Selection for Linear Models
	T07	CSTRAD Sharing Session, Ministry of Defence, Brunei Misconceptions in Demography
2018	T06	FOS Research Seminar, UBD, Brunei A Brief Guide to Variational Inference
	T05	Social Statistics Group Meetings, LSE, London, UK A Beginner’s Guide to Variational Inference
2017	T04	Department of Statistics PhD Presentation Event, LSE, London, UK Binary probit regression with I-priors
2016	T03	Social Statistics Group Meetings, LSE, London, UK I-priors in Bayesian Variable Selection: From Reproducing Kernel Hilbert Spaces to Hamiltonian Monte Carlo
2015	T02	Postgraduate Research Seminar, LSE, London, UK Two-stage Bayesian variable selection for linear models using I-priors
	T01	Department of Statistics PhD Presentation Event, LSE, London, UK Regression Modelling using I-priors

Skills

Programming, data analysis and visualisation using R, BUGS/JAGS, Stan, Stata, Mplus, and Mathematica

Reproducible research using R Markdown, LaTeX, Git and AWS EC2

Web development using HTML, Hugo, Jekyll, GitHub Pages and Netlify

The source code for this document is available from github.com/haziqj/cv